= 0,1
ts
Lehrte,
7: Area 2|
Fig.
HIGH ACCURATE GEOMETRIC RECTIFICATION
- NECESSITY AND REALIZATION -
Dipl.-Ing. Rainer Hóssler
Lehrstuhl für Photogrammetrie
Technische Universitat München
Arcisstr. 21, D-8000 München 2
INTRODUCTION AND STATEMENT OF THE PROBLEM
In the early stage interpretation of remote sensing imagery
was restricted to the use of single aerial photographs or
to a synoptic consideration of multispectral or multi-
temporal remote sensing imagery. Out of understandable
reasons the users were not willing to content themselves
with those simple interpretation methods. To make better
use of the full information high developed data collecting
systems provide, it was necessary to improve interpretation
methods. This became possible by using analogous and
digital image processing systems. Those developments not
only managed to work up more information but also allowed
to obtain better results.
In the beginning of image processing geometry wasn't a very
important object, but with the development of modern
methods high geometric fidelity became a precondition for
their useful application. In particular change detection is
such a new and high developed interpretation method, which
requires high geometric accuracy to guarantee good results.
Satisfying results however can be received only, if the
detected changes are not caused by wrong or less accurate
geometry.
The methods for geometric rectification of remote sensing
data existing up to now can be divided into two groups. The
more simple methods fit in the data into a given pattern of
control points according to a certain interpolation model.
Possible models applied up to now are similarity transfor-
mations, affin transformations, linear prediction with